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Michael D. Iglesia

dblp:192/4389 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
immunoinformatics
0.212016
Assembly-based inference of B-cell receptor repertoires from short read RNA sequencing data with V'DJer · Bioinform. 2016
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.112016
Assembly-based inference of B-cell receptor repertoires from short read RNA sequencing data with V'DJer · Bioinform. 2016
Bioinformatics and computational biology › transcriptomics
transcript assembly
0.112016
Assembly-based inference of B-cell receptor repertoires from short read RNA sequencing data with V'DJer · Bioinform. 2016

Methods — techniques the papers use, named apart from their topics

sequence assembly · 0.2
YearPublicationVenuePosition
2016 Assembly-based inference of B-cell receptor repertoires from short read RNA sequencing data with V'DJer
abstract
MOTIVATION: B-cell receptor (BCR) repertoire profiling is an important tool for understanding the biology of diverse immunologic processes. Current methods for analyzing adaptive immune receptor repertoires depend upon PCR amplification of VDJ rearrangements followed by long read amplicon sequencing spanning the VDJ junctions. While this approach has proven to be effective, it is frequently not feasible due to cost or limited sample material. Additionally, there are many existing datasets where short-read RNA sequencing data are available but PCR amplified BCR data are not. RESULTS: We present here V'DJer, an assembly-based method that reconstructs adaptive immune receptor repertoires from short-read RNA sequencing data. This method captures expressed BCR loci from a standard RNA-seq assay. We applied this method to 473 Melanoma samples from The Cancer Genome Atlas and demonstrate V'DJer's ability to accurately reconstruct BCR repertoires from short read mRNA-seq data. AVAILABILITY AND IMPLEMENTATION: V'DJer is implemented in C/C ++, freely available for academic use and can be downloaded from Github: https://github.com/mozack/vdjer CONTACT: [email protected] or [email protected] information: Supplementary data are available at Bioinformatics online.
Lisle E. Mose, Sara R. Selitsky, Lisa M. Bixby, David L. Marron, Michael D. Iglesia, Jonathan S. Serody, Charles M. Perou, Benjamin Vincent, Joel S. Parker
Bioinform.5